Staff Machine Learning Engineer

Bloomreach

. Lead the design and implementation of machine learning and AI-driven solutions that improve search relevance and discovery experiences .

Posted 11/3/2026full-timeRemote • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing machine learning and AI-driven solutions for search relevance, with a strong foundation in Python and experience in building scalable distributed systems. Proficient in analyzing data to drive improvements in search quality and mentoring engineering teams.

Highest-signal resume keywords

Machine Learning Solutions DesignPython ProgrammingSearch Relevance ExpertiseCloud Production Systems (AWS/GCP/Azure)NLP Techniques

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningAI-Driven SolutionsPythonJavaGoDeep Learning (PyTorch, TensorFlow)Data AnalysisModel Evaluation FrameworksSearch AlgorithmsDistributed Systems

Soft Skills

Problem-SolvingAnalytical SkillsEffective Communication

Tools & Technologies

AWSGCPAzureLLM Evaluation FrameworksHybrid Search Architectures

Industry Keywords

Information RetrievalSearch QualityNLPRankingRecommendation Systems

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaPythonPyTorchTensorflowGo

About the role

Key responsibilities & impact

Lead the design and implementation of machine learning and AI-driven solutions that improve search relevance and discovery experiences
Own the technical roadmap and provide architecture leadership for ML and AI-driven relevance solutions
Design, develop, and enhance ML/AI models and algorithms for Search and Relevance
Own model evaluation and experimentation frameworks to ensure high-quality deployments
Analyze search queries, product catalogs, user behavior, and other data to identify patterns and improve search quality
Work with software and data engineers to integrate and scale ML components into production systems
Analyze search and relevance data to identify problems and drive improvements
Mentor engineers and influence cross-team decisions to align engineering and product goals
Stay current with developments in Machine Learning, Information Retrieval, and Generative AI
Research, build, evaluate, and productionize ML-driven solutions for search

Requirements

What you’ll need

BE/B.Tech/ME/M.Tech in Computer Science or a related discipline
Strong mathematical foundation and excellent programming skills
Primarily Python, alongside proficiency in a backend language such as Java or Go
8+ years of experience building ML-driven systems and algorithms in production
Strong software engineering skills
Experience building low-latency, scalable distributed systems in a cloud production environment (AWS/GCP/Azure)
Strong background in Search, Information Retrieval, Ranking, or Search Relevance
Experience working with large-scale data and ML systems
Hands-on experience applying LLMs to Search/ML problems, including quality, latency, and cost trade-offs
Experience working across multiple merchants, domains, and languages
Strong background in NLP and Search Quality techniques, including intent identification, query understanding, data analysis, and domain-specific ML model tuning
Relevant search retrieval experience in at least one area: RAG, lexical search, vector search, or recommendation systems
Experience with deep learning frameworks such as PyTorch or TensorFlow
Strong problem-solving and analytical skills
Effective communication skills in English, both verbal and written
Prior experience building or working with LLM evaluation frameworks (preferred)
Hands-on experience implementing hybrid search architectures (preferred)

Benefits

Comp & perks

Flexible working hours
Virtual-first work model with Bloomreach Hubs across three continents
Company events
5 paid days off to volunteer
People Development Program and personal development workshops
Communication coach support
Leader Development Program with feedback, coaching, and follow-up check-ins
$1,500 annual professional education budget for books, courses, certifications, etc.
Employee Assistance Program with counselors
Calm subscription
One additional DisConnect day off each quarter
Sports, yoga, and meditation opportunities
Extended parental leave up to 26 calendar weeks for Primary Caregivers
Restricted Stock Units or Stock Options, depending on role, seniority, and location
Company performance bonus
Employee referral bonus of up to $3,000
Work anniversary rewards and celebrations